The study of robust flight control is important to improve the airplane performance and the flight quality.
飞机鲁棒控制的研究对于提高飞机性能，改善飞行品质具有重要的意义。
Based on performance of real-time and closed loop feedback flight control system, a set of robust adaptive observers are set up for sensor fault isolation and reconfiguration.
考虑到飞行控制系统闭环反馈及实时的特性，设计了多个鲁棒自适应观测器用于传感器的故障隔离与重构。
The robust adaptive flight control system design with neural network of attack helicopter is studied in this dissertation and super maneuver nimble of attack helicopter is realized.
本文就武装直升机大机动、高敏捷性神经网络鲁棒自适应飞行控制系统的设计问题展开研究。
Robust stability of the aeroservoelastic systems subjected to the perturbation of uncertainties is very important for elastic flight vehicles with automatic flight control systems.
气动伺服弹性系统在不确定性摄动下的鲁棒稳定性问题对于带有自动控制系统的弹性飞行器是非常关键的。
A robust nonlinear flight control law was proposed which synthesized the neural networks and the dynamic nonlinear damping theory.
应用神经网络控制与动态非线性阻尼控制综合的非线性控制方法对飞行控制律进行了研究。
A robust nonlinear flight control law was proposed which synthesized the neural networks and the dynamic nonlinear damping theory.
应用神经网络控制与动态非线性阻尼控制综合的非线性控制方法对飞行控制律进行了研究。
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